code: def test_lm_generate_openai_gpt(self):
      model = TFOpenAIGPTLMHeadModel.from_pretrained("openai-gpt")
      input_ids = tf.convert_to_tensor(
          [[481, 4735, 544]], dtype=tf.int32
      )  # the president is
      expected_output_ids = [
          481,
          4735,
          544,
          246,
          963,
          870,
          762,
          239,
          244,
          40477,
          244,
          249,
          719,
          881,
          487,
          544,
          240,
          244,
          603,
          481,
      ]  # the president is a very good man. " \n " i\'m sure he is, " said the
  
      output_ids = model.generate(input_ids, do_sample=False)
      self.assertListEqual(
          output_ids[0].numpy().tolist(), expected_output_ids
      )
  
imports: from __future__ import annotations
  import unittest
  from transformers import OpenAIGPTConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the TFOPENAIGPTModelLanguageGenerationTest obj's underlying member method code with example usage: obj.test_lm_generate_openai_gpt() without return types